Solving the Enterprise Data Dilemma
|
|
- Piers Rodgers
- 5 years ago
- Views:
Transcription
1 Solving the Enterprise Data Dilemma Harmonizing Data Management and Data Governance to Accelerate Actionable Insights Learn More at erwin.com
2 Is Our Company Realizing Value from Our Data? If your business is like most other enterprises, you collect and analyze some data from a subset of sources to make product improvements, enhance customer service, reduce expenses and inform other, mostly tactical decisions. The real question is are you reaping all the value you can from all your data? Probably not. Few organizations are truly data-driven. Most don t use all the data they re flooded with to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or make other strategic decisions. They don t know exactly what data they have or even where some of it is, and they struggle to integrate known data in various formats and from numerous systems especially if they don t have a way to automate those processes. And as recent statistics demonstrate, this problem is growing. How does your business become more adept at wringing all the value it can from data? The answer lies in harmonizing data management with data governance. Data management drives the design, deployment and operation of systems that deliver operational data assets for analytics purposes. Data governance delivers these data assets within a business context, tracking their physical existence and lineage, and maximizing their security, quality and value. Together, they form a critical hub for data preparation, modeling and governance. 163 ZB Projected size of global datasphere in 2025.* 97%+ The percentage of data in the global datasphere that enterprises have the challenge of managing.* DATA TAGGING By the end of 2025, only 15% of the data in the global datasphere will be tagged and only one-fifth of that will actually be analyzed.* These are all obstacles to maximizing value. Some may hamper the ability to reach a single version of data truth that would make it easier to analyze big-picture issues without confusion and contradiction. Chances are that data also is not accessible to all constituents business and IT to collaborate in reaching insights to help direct business actions. *Data Age 2025, IDC report sponsored by Seagate SOLVING THE ENTERPRISE DATA DILEMMA 2
3 Data Management and Data Governance Dependency Let s look at why these two disciplines, which approach data from different perspectives (IT-driven and business-oriented), depend on each other and discuss how that dependency supports efforts to make the most of your data. BUSINESS NEED Your organization requires a real-time, accurate picture of its data landscape, including data at rest in databases, data warehouses and data lakes and data in motion as it is integrated with and used by key applications. You also must control that landscape to facilitate collaboration and limit risk. DATA MANAGEMENT Knowing what data you have and where it lives is complicated. You need to create and sustain an enterprise-wide view of and easy access to underlying metadata, but that s a tall order with numerous data types and data sources that were never designed to work together and data infrastructures that have been cobbled together over time with disparate technologies, poor documentation and little thought for downstream integration. So the applications and initiatives that depend on a solid data infrastructure may be compromised, and analysis of data can result in faulty insights. These issues can be addressed with a strong data management strategy and technology to enable the data quality required by the business, which encompasses data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage). DATA GOVERNANCE Being able to pinpoint what data exists and where must be accompanied by an agreed-upon business understanding of what it all means in common terms that are adopted across the enterprise. Having that consistency is the only way to assure that insights generated by analyses are useful and actionable, regardless of business department or user exploring a question. Additionally, policies, processes and tools that define and control access to data by roles and across workflows are critical for security purposes. These issues can be addressed with a comprehensive data governance strategy and technology to determine master data sets, discover the impact of potential glossary changes across the enterprise, audit and score adherence to rules, discover risks, and appropriately and cost-effectively apply security to data flows, as well as publish data to people/roles in ways that are meaningful to them. DESIRED RESULT An automated, real-time, high-quality data pipeline is established for all your stakeholders, and it serves as a key element for standing up data governance in agile, efficient and cost-effective ways. Data scientists, data stewards, ETL developers, enterprise architects, business analysts, compliance officers, CDOs and CEOs can access the data they re authorized to use and base strategic decisions on what is now a full inventory of reliable information. SOLVING THE ENTERPRISE DATA DILEMMA 3
4 Automating Data Management The reality is there s not enough time, people and money for true data management using manual processes. Your organization won t be able to take complete advantage of analytics tools to become datadriven unless you establish a foundation for agile and complete data management. What: Data cataloging and mapping through the integration lifecycle process, inclusive of data at rest and data in motion, is automated. Why: A metadata-driven automated framework for cataloging data assets and their flows across the business provides an efficient, agile and dynamic way to generate data lineage from operational source systems (databases, data models, file-based systems, unstructured files and more) across the information management architecture; construct business glossaries; assess what data aligns with specific business rules and policies; and inform how that data is transformed, integrated and federated throughout business processes complete with full documentation. Without this automation, business transformation will be stymied. Companies, especially large ones with thousands of systems, files and processes, will be particularly challenged by taking a manual approach. Outsourcing these data management efforts to professional services firms only delays schedules and increases costs. With automation, data quality is systemically assured. The data pipeline is seamlessly governed and operationalized to the benefit of all stakeholders. The Enterprise Data Management market accounted for a value of $68.60 billion in 2016 and is projected to reach $ billion at the end of % of CEOs will fail to act on digital transformation, putting their firms at risk. Global Enterprise Data Management Market Report, Orbis Research Forrester Predictions 2018: A Year of Reckoning SOLVING THE ENTERPRISE DATA DILEMMA 4
5 A Look at Data Management The following are processes that define data management in service to a data governance initiative BUSINESS GLOSSARY Captures business and technical definitions, establishing relationships and defining process workflow. 4 DATA CATALOG Integrates data sets from various sources and provides access to all underlying metadata for easy entry to enterprise data. DATA LINEAGE A way to track data from its origin to destination across processes. Managed metadata captures enterprise data flow and presents data lineage. 5 DATA MAPPING The mapping of source-to-target columns with the associated transformations. Natural language mappings can be automated to discover and document data movement and automatically generate code components across multiple platforms to deploy data movement. DATA QUALITY Automated data validation, data remediation, monitoring of data rules, discovery and mapping of sensitive data for compliance audit standards. SOLVING THE ENTERPRISE DATA DILEMMA 5
6 The Data Governance Connection Your stakeholders encompass both IT and business users in collaborative relationships, so that makes data governance everyone s business. Automating the ability to integrate and expose a consistent and dependable data landscape to all parties matters to data governance processes and policies. And authorizing how individuals in various roles access the data matters to analytics processes. What: Data Mapping & Data Governance Why: The automated generation of the physical embodiment of data lineage the creation, movement and transformation of transactional and operational data for harmonization and aggregation provides the best route for enabling stakeholders to understand their data, trust it as a well-governed asset and use it effectively. Being able to quickly document lineage for a standardized, non-technical environment brings business alignment and agility to the task of building and maintaining analytics platforms. What: Data Modeling & Data Governance Why: Data modeling discovers and harvests data schema, and analyzes, represents and communicates data requirements. It synthesizes and standardizes data sources for clarity and consistency to back up governance requirements to use only controlled data. It benefits from the ability to automatically map integrated and cataloged data to and from models, where they can be stored in a central repository for re-use across the organization. What: Business Process Modeling & Data Governance Why: Business process modeling reveals the workflows, business capabilities and applications that use particular data elements. That requires that these assets be appropriately governed components of an integrated data pipeline that rests on automated data lineage and business glossary creation. What: Enterprise Architecture & Data Governance Why: Data flows and architectural diagrams within enterprise architecture benefit from the ability to automatically assess and document the current data architecture. Automatically providing and continuously maintaining business glossary ontologies and integrated data catalogs inform a key part of the governance process. Data governance builds on data mapping, data modeling, enterprise architecture, and business process modeling. SOLVING THE ENTERPRISE DATA DILEMMA 6
7 Step Into Integrated Data Management and Data Governance Integrating data management and data governance is still a new concept for many organizations, but the advantages are clear. Here s a summary of what you can achieve when IT-driven data management and business-led data governance work in concert. 1 DISCOVER DATA Identify and integrate metadata from 5 MAP DATA FLOWS Identify where to integrate data and various data management silos. track how it moves and transforms. 2 HARVEST DATA Automate the collection of metadata 6 GOVERN DATA Develop a governance model to manage from various data management silos standards and policies and set best and consolidate it into a single source. practices. 3 STRUCTURE AND DEPLOY DATA SOURCES 7 SOCIALIZE DATA Enable stakeholders to see data in one Connect physical metadata to specific place and in the context of their roles. business terms and definitions and reusable design standards. 4 ANALYZE METADATA Understand how data relates to the business and what attributes it has. SOLVING THE ENTERPRISE DATA DILEMMA 7
8 A Regulatory Rationale for Integrating Data Management and Data Governance Regulatory compliance is the top reason companies embark on data governance initiatives. They must consider how successful or even achievable these initiatives will be without automated data management being part of them. In addition to promoting data-driven insights and business transformation by knowing what data exists in your business, where and its value potential, the integration of data management and governance capabilities supports industry needs to fulfill regulatory and compliance mandates. What: Regulations such as GDPR, HIPAA, PII and BCBS particularly affect sectors such as finance, retail, pharmaceutical/life sciences and healthcare. Why: When key data isn t discovered, harvested, cataloged, defined and standardized as part of integration processes, audits may be flawed. Sensitive data at rest or in motion that exists across multiple systems must be automatically tagged, its lineage automatically documented, and its flows depicted so that it is easily found and its usage across workflows easily traced. What s Driving Your Data Governance Initiative? Regulatory Compliance Customer Trust / Satisfaction Better Decision Making Reputation Management Analytics Big Data Data Standards Uniformity 21% 27% 30% 15% Self Service Data 9% Reduction of Colliding Policies and Processes for Data 7% Precision of Language 2% 45% 49% Note: Maximum of three responses allowed. Data: UBM survey of 118 business technology professionals at organizations with 1,000 or more employees, November % SOLVING THE ENTERPRISE DATA DILEMMA 8
9 Conclusion: Ready to Use All Your Data Assets? A focus on the intersection between data management and data governance will position your organization to achieve the main goal you ve been aiming for: getting more value out of your data all your data for all your needs. When approaching the issue, it s important to review the entire spectrum of a vendor s offerings. Some may boast of a strong business glossary, for example, but lack functionality for maintaining business rules and processes. Others may not provide data quality features that specifically target compliance requirements. Some may boast of automation but actually require that enterprises turn to professional services to generate lineage. However, you can have it all by using a single solution that checks every box. The erwin EDGE Platform delivers an enterprise data governance experience by combining data governance, enterprise architecture, business process modeling, data modeling and data mapping. With the broadest set of metadata connectors and automated code generation, mapping and cataloging tools, the erwin EDGE helps to simplify the entire data management and data governance lifecycle. That means every stakeholder can accelerate the transformation of data into accurate, actionable insights to drive regulatory compliance, innovation and business transformation initiatives. These integrated capabilities bring together both IT and business users, giving them the technical management and business data savvy required for realizing maximum data value. Let us guide your organization in driving the fastest returns on your data. Start by requesting a demo of erwin DG, the most-connected and role-based data governance solution on the market. SOLVING THE ENTERPRISE DATA DILEMMA 9
10 About erwin, Inc. erwin provides the most comprehensive data management and governance solutions to automate and accelerate the transformation of data into accurate and actionable insights. The erwin EDGE platform combines data governance, enterprise architecture, business process, data modeling and data mapping. Thanks to the broadest set of connectors Connect with erwin at erwin.com for data preparation, modeling and governance, government agencies, financial institutions, healthcare companies and other enterprises around the world can use data to fuel their compliance, innovation and transformation initiatives erwin, Inc. All rights reserved. All trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.
The Value of Data Modeling for the Data-Driven Enterprise
Solution Brief: erwin Data Modeler (DM) The Value of Data Modeling for the Data-Driven Enterprise Designing, documenting, standardizing and aligning any data from anywhere produces an enterprise data model
More informationThe Value of Data Governance for the Data-Driven Enterprise
Solution Brief: erwin Data governance (DG) The Value of Data Governance for the Data-Driven Enterprise Prepare for Data Governance 2.0 by bringing business teams into the effort to drive data opportunities
More informationThe Emerging Data Lake IT Strategy
The Emerging Data Lake IT Strategy An Evolving Approach for Dealing with Big Data & Changing Environments bit.ly/datalake SPEAKERS: Thomas Kelly, Practice Director Cognizant Technology Solutions Sean Martin,
More informationDesigning High-Performance Data Structures for MongoDB
Designing High-Performance Data Structures for MongoDB The NoSQL Data Modeling Imperative Danny Sandwell, Product Marketing, erwin, Inc. Leigh Weston, Product Manager, erwin, Inc. Learn More at erwin.com
More informationIBM InfoSphere Information Analyzer
IBM InfoSphere Information Analyzer Understand, analyze and monitor your data Highlights Develop a greater understanding of data source structure, content and quality Leverage data quality rules continuously
More informationCA ERwin Data Profiler
PRODUCT BRIEF: CA ERWIN DATA PROFILER CA ERwin Data Profiler CA ERWIN DATA PROFILER HELPS ORGANIZATIONS LOWER THE COSTS AND RISK ASSOCIATED WITH DATA INTEGRATION BY PROVIDING REUSABLE, AUTOMATED, CROSS-DATA-SOURCE
More informationSAP Agile Data Preparation Simplify the Way You Shape Data PUBLIC
SAP Agile Data Preparation Simplify the Way You Shape Data Introduction SAP Agile Data Preparation Overview Video SAP Agile Data Preparation is a self-service data preparation application providing data
More informationUnified Governance for Amazon S3 Data Lakes
WHITEPAPER Unified Governance for Amazon S3 Data Lakes Core Capabilities and Best Practices for Effective Governance Introduction Data governance ensures data quality exists throughout the complete lifecycle
More informationAccelerate Your Enterprise Private Cloud Initiative
Cisco Cloud Comprehensive, enterprise cloud enablement services help you realize a secure, agile, and highly automated infrastructure-as-a-service (IaaS) environment for cost-effective, rapid IT service
More informationInformatica Data Quality Product Family
Brochure Informatica Product Family Deliver the Right Capabilities at the Right Time to the Right Users Benefits Reduce risks by identifying, resolving, and preventing costly data problems Enhance IT productivity
More informationAVOIDING SILOED DATA AND SILOED DATA MANAGEMENT
AVOIDING SILOED DATA AND SILOED DATA MANAGEMENT Dalton Cervo Author, Consultant, Data Management Expert March 2016 This presentation contains extracts from books that are: Copyright 2011 John Wiley & Sons,
More informationRealizing the Full Potential of MDM 1
Realizing the Full Potential of MDM SOLUTION MDM Augmented with Data Virtualization INDUSTRY Applicable to all Industries EBSITE www.denodo.com PRODUCT OVERVIE The Denodo Platform offers the broadest access
More informationEnterprise Data Management - Data Lineage
Enterprise Data Management - Data Lineage 2 Enterprise Data Management - Data Lineage Data Lineage has been a hot topic in data management for a while now. This is especially true in the financial sector.
More informationRisk: Security s New Compliance. Torsten George VP Worldwide Marketing and Products, Agiliance Professional Strategies - S23
Risk: Security s New Compliance Torsten George VP Worldwide Marketing and Products, Agiliance Professional Strategies - S23 Agenda Market Dynamics Organizational Challenges Risk: Security s New Compliance
More informationMove Beyond Primitive Drawing Tools with SAP Sybase PowerDesigner Create and Manage Business Change in Your Enterprise Architecture
SAP Sybase PowerDesigner Move Beyond Primitive Drawing Tools with SAP Sybase PowerDesigner Create and Manage Business Change in Your Enterprise Architecture Table of Contents 3 Add Intelligence to the
More informationCA Security Management
CA Security CA Security CA Security In today s business environment, security remains one of the most pressing IT concerns. Most organizations are struggling to protect an increasing amount of disparate
More informationTECHNOLOGY BRIEF: CA ERWIN DATA PROFILER. Combining Data Profiling and Data Modeling for Better Data Quality
TECHNOLOGY BRIEF: CA ERWIN DATA PROFILER Combining Data Profiling and Data Modeling for Better Data Quality Table of Contents Executive Summary SECTION 1: CHALLENGE 2 Reducing the Cost and Risk of Data
More informationThe #1 Key to Removing the Chaos. in Modern Analytical Environments
October/2018 Advanced Data Lineage: The #1 Key to Removing the Chaos in Modern Analytical Environments Claudia Imhoff, Ph.D. Sponsored By: Table of Contents Executive Summary... 1 Data Lineage Introduction...
More informationIBM Software IBM InfoSphere Information Server for Data Quality
IBM InfoSphere Information Server for Data Quality A component index Table of contents 3 6 9 9 InfoSphere QualityStage 10 InfoSphere Information Analyzer 12 InfoSphere Discovery 13 14 2 Do you have confidence
More informationWHITE PAPER. The General Data Protection Regulation: What Title It Means and How SAS Data Management Can Help
WHITE PAPER The General Data Protection Regulation: What Title It Means and How SAS Data Management Can Help ii Contents Personal Data Defined... 1 Why the GDPR Is Such a Big Deal... 2 Are You Ready?...
More informationData Management Glossary
Data Management Glossary A Access path: The route through a system by which data is found, accessed and retrieved Agile methodology: An approach to software development which takes incremental, iterative
More informationOracle Buys Automated Applications Controls Leader LogicalApps
Oracle Buys Automated Applications Controls Leader LogicalApps To strengthen Oracle s Governance, Risk and Compliance Suite with Real-time Policy Enforcement October 26, 2007 Disclaimer The following is
More informationData Governance Is Everyone s Business
Data Governance Is Everyone s Business Bringing IT and business together for a new era in data-driven enterprise Learn more at erwin.com A New Age in Data Governance Taking ownership of responsibilities
More informationImproving Data Governance in Your Organization. Faire Co Regional Manger, Information Management Software, ASEAN
Improving Data Governance in Your Organization Faire Co Regional Manger, Information Management Software, ASEAN Topics The Innovation Imperative and Innovating with Information What Is Data Governance?
More informationI D C T E C H N O L O G Y S P O T L I G H T
I D C T E C H N O L O G Y S P O T L I G H T P ow e ring Digital Transfor m a t i o n T h r ough the C l o u d - R e a d y E n t e r p rise September 2016 Adapted from Developing a Cloud Strategy for Digital
More informationThe Business Value of Metadata for Data Governance: The Challenge of Integrating Packaged Applications
The Business Value of Metadata for Data Governance: The Challenge of Integrating Packaged Applications By Donna Burbank Managing Director, Global Data Strategy, Ltd www.globaldatastrategy.com Sponsored
More informationINTELLIGENCE DRIVEN GRC FOR SECURITY
INTELLIGENCE DRIVEN GRC FOR SECURITY OVERVIEW Organizations today strive to keep their business and technology infrastructure organized, controllable, and understandable, not only to have the ability to
More informationMAPR DATA GOVERNANCE WITHOUT COMPROMISE
MAPR TECHNOLOGIES, INC. WHITE PAPER JANUARY 2018 MAPR DATA GOVERNANCE TABLE OF CONTENTS EXECUTIVE SUMMARY 3 BACKGROUND 4 MAPR DATA GOVERNANCE 5 CONCLUSION 7 EXECUTIVE SUMMARY The MapR DataOps Governance
More informationHow to Become a DATA GOVERNANCE EXPERT
How to Become a DATA GOVERNANCE EXPERT You re already a data expert. You ve been working with enterprise data for years. You ve seen the good, the bad, and the downright ugly. And you ve watched the business
More informationWEBMETHODS AGILITY FOR THE DIGITAL ENTERPRISE WEBMETHODS. What you can expect from webmethods
WEBMETHODS WEBMETHODS AGILITY FOR THE DIGITAL ENTERPRISE What you can expect from webmethods Software AG s vision is to power the Digital Enterprise. Our technology, skills and expertise enable you to
More informationModern Database Architectures Demand Modern Data Security Measures
Forrester Opportunity Snapshot: A Custom Study Commissioned By Imperva January 2018 Modern Database Architectures Demand Modern Data Security Measures GET STARTED Introduction The fast-paced, ever-changing
More informationSymantec Data Center Transformation
Symantec Data Center Transformation A holistic framework for IT evolution As enterprises become increasingly dependent on information technology, the complexity, cost, and performance of IT environments
More informationOVERVIEW BROCHURE GRC. When you have to be right
OVERVIEW BROCHURE GRC When you have to be right WoltersKluwerFS.com In response to today s demanding economic and regulatory climate, many financial services firms are transforming operations to enhance
More informationBest Practices in Securing a Multicloud World
Best Practices in Securing a Multicloud World Actions to take now to protect data, applications, and workloads We live in a multicloud world. A world where a multitude of offerings from Cloud Service Providers
More informationInformation empowerment for your evolving data ecosystem
Information empowerment for your evolving data ecosystem Highlights Enables better results for critical projects and key analytics initiatives Ensures the information is trusted, consistent and governed
More informationVirtuoso Infotech Pvt. Ltd.
Virtuoso Infotech Pvt. Ltd. About Virtuoso Infotech Fastest growing IT firm; Offers the flexibility of a small firm and robustness of over 30 years experience collectively within the leadership team Technology
More informationWhat s a BA to do with Data? Discover and define standard data elements in business terms
What s a BA to do with Data? Discover and define standard data elements in business terms Susan Block, Lead Business Systems Analyst The Vanguard Group Discussion Points Discovering Business Data The Data
More informationCONSOLIDATING RISK MANAGEMENT AND REGULATORY COMPLIANCE APPLICATIONS USING A UNIFIED DATA PLATFORM
CONSOLIDATING RISK MANAGEMENT AND REGULATORY COMPLIANCE APPLICATIONS USING A UNIFIED PLATFORM Executive Summary Financial institutions have implemented and continue to implement many disparate applications
More informationPredictive Insight, Automation and Expertise Drive Added Value for Managed Services
Sponsored by: Cisco Services Author: Leslie Rosenberg December 2017 Predictive Insight, Automation and Expertise Drive Added Value for Managed Services IDC OPINION Competitive business leaders are challenging
More informationEffective Risk Data Aggregation & Risk Reporting
Effective Risk Data Aggregation & Risk Reporting Presented by: Ilia Bolotine Head, Adastra Business Consulting (Canada) 1 The Evolving Regulatory Landscape in Risk Management A significant lesson learned
More informationSOLUTION BRIEF RSA ARCHER IT & SECURITY RISK MANAGEMENT
RSA ARCHER IT & SECURITY RISK MANAGEMENT INTRODUCTION Organizations battle growing security challenges by building layer upon layer of defenses: firewalls, antivirus, intrusion prevention systems, intrusion
More informationData Governance Quick Start
Service Offering Data Governance Quick Start Congratulations! You ve been named the Data Governance Leader Now What? Benefits Accelerate the initiation of your Data Governance program with an industry
More informationNext Generation Policy & Compliance
Next Generation Policy & Compliance Mason Karrer, CISSP, CISA GRC Strategist - Policy and Compliance, RSA Core Competencies C33 2013 Fall Conference Sail to Success CRISC CGEIT CISM CISA Introductions...
More informationBetter together. KPMG LLP s GRC Advisory Services for IBM OpenPages implementations. kpmg.com
Better together KPMG LLP s GRC Advisory Services for IBM OpenPages implementations kpmg.com KPMG A leader in GRC services KPMG LLP (KPMG) is the U.S. member firm of the KPMG global network of professional
More informationBest Practices in Enterprise Data Governance
Best Practices in Enterprise Data Governance Scott Gidley and Nancy Rausch, SAS WHITE PAPER SAS White Paper Table of Contents Introduction.... 1 Data Governance Use Case and Challenges.... 1 Collaboration
More informationReal World Data Governance- Part 1
Real World Data Governance- Part 1 Day in the Life of a Business Steward Jesse Lambert and Jack Spivak, TopQuadrant Inc. November 30, 2017 Today s Program TopBraid EDG: A Day in the Life of a Business
More information2 The IBM Data Governance Unified Process
2 The IBM Data Governance Unified Process The benefits of a commitment to a comprehensive enterprise Data Governance initiative are many and varied, and so are the challenges to achieving strong Data Governance.
More informationPaper. Delivering Strong Security in a Hyperconverged Data Center Environment
Paper Delivering Strong Security in a Hyperconverged Data Center Environment Introduction A new trend is emerging in data center technology that could dramatically change the way enterprises manage and
More informationFINANCIAL REGULATORY REPORTING ACROSS AN EVOLVING SCHEMA
FINANCIAL REGULATORY REPORTING ACROSS AN EVOLVING SCHEMA MODELDR & MARKLOGIC - DATA POINT MODELING MARKLOGIC WHITE PAPER JUNE 2015 CHRIS ATKINSON Contents Regulatory Satisfaction is Increasingly Difficult
More informationData Virtualization and the API Ecosystem
Data Virtualization and the API Ecosystem Working Together, These Two Technologies Enable Digital Transformation SOLUTION Data Virtualization for the API Ecosystem WEBSITE www.denodo.com PRODUCT OVERVIEW
More informationSD-WAN. Enabling the Enterprise to Overcome Barriers to Digital Transformation. An IDC InfoBrief Sponsored by Comcast
SD-WAN Enabling the Enterprise to Overcome Barriers to Digital Transformation An IDC InfoBrief Sponsored by Comcast SD-WAN Is Emerging as an Important Driver of Business Results The increasing need for
More informationGain Control Over Your Cloud Use with Cisco Cloud Consumption Professional Services
Solution Overview Gain Control Over Your Cloud Use with Cisco Cloud Consumption Professional Services OPTIMIZE YOUR CLOUD SERVICES TO DRIVE BETTER BUSINESS OUTCOMES Reduce Cloud Business Risks and Costs
More informationHortonworks DataFlow. Accelerating Big Data Collection and DataFlow Management. A Hortonworks White Paper DECEMBER Hortonworks DataFlow
Hortonworks DataFlow Accelerating Big Data Collection and DataFlow Management A Hortonworks White Paper DECEMBER 2015 Hortonworks DataFlow 2015 Hortonworks www.hortonworks.com 2 Contents What is Hortonworks
More informationService Provider Consulting
From Microsoft Services 1 Industry Overview More and more businesses are looking to outsource IT, decrease management requirements and ultimately save money. With worldwide public cloud spending expected
More informationManaging Privacy Risk & Compliance in Financial Services. Brett Hamilton Advisory Solutions Consultant ServiceNow
Managing Privacy Risk & Compliance in Financial Services Brett Hamilton Advisory Solutions Consultant ServiceNow 1 Speaker Introduction INSERT PHOTO Name: Brett Hamilton Title: Advisory Solutions Consultant
More informationRED HAT ENTERPRISE LINUX. STANDARDIZE & SAVE.
RED HAT ENTERPRISE LINUX. STANDARDIZE & SAVE. Is putting Contact us INTRODUCTION You know the headaches of managing an infrastructure that is stretched to its limit. Too little staff. Too many users. Not
More informationData Governance: Data Usage Labeling and Enforcement in Adobe Cloud Platform
Data Governance: Data Usage Labeling and Enforcement in Adobe Cloud Platform Contents What is data governance? Why data governance? Data governance roles. The Adobe Cloud Platform advantage. A framework
More informationSTRATEGIC DATA ORGANISATION SOLUTION
STRATEGIC DATA ORGANISATION SOLUTION STRATEGIC DATA ORGANISATION The aim is to be the internal data provider of choice within the firm by: employing governance best practices providing high-quality products
More informationMOBIUS + ARKIVY the enterprise solution for MIFID2 record keeping
+ Solution at a Glance IS A ROBUST AND SCALABLE ENTERPRISE CONTENT ARCHIVING AND MANAGEMENT SYSTEM. PAIRED WITH THE DIGITAL CONTENT GATEWAY, YOU GET A UNIFIED CONTENT ARCHIVING AND INFORMATION GOVERNANCE
More informationXcelerated Business Insights (xbi): Going beyond business intelligence to drive information value
KNOWLEDGENT INSIGHTS volume 1 no. 5 October 7, 2011 Xcelerated Business Insights (xbi): Going beyond business intelligence to drive information value Today s growing commercial, operational and regulatory
More informationPREPARE FOR TAKE OFF. Accelerate your organisation s journey to the Cloud.
PREPARE FOR TAKE OFF Accelerate your organisation s journey to the Cloud. cloud. Contents Introduction Program & Governance BJSS Cloud Readiness Assessment: Intro Platforms & Development BJSS Cloud Readiness
More informationInformatica Enterprise Information Catalog
Data Sheet Informatica Enterprise Information Catalog Benefits Automatically catalog and classify all types of data across the enterprise using an AI-powered catalog Identify domains and entities with
More informationSIEM: Five Requirements that Solve the Bigger Business Issues
SIEM: Five Requirements that Solve the Bigger Business Issues After more than a decade functioning in production environments, security information and event management (SIEM) solutions are now considered
More informationMODERNIZE INFRASTRUCTURE
SOLUTION OVERVIEW MODERNIZE INFRASTRUCTURE Support Digital Evolution in the Multi-Cloud Era Agility and Innovation Are Top of Mind for IT As digital transformation gains momentum, it s making every business
More informationThe data quality trends report
Report The 2015 email data quality trends report How organizations today are managing and using email Table of contents: Summary...1 Research methodology...1 Key findings...2 Email collection and database
More informationSOLUTION BRIEF HELPING BREACH RESPONSE FOR GDPR WITH RSA SECURITY ADDRESSING THE TICKING CLOCK OF GDPR COMPLIANCE
HELPING BREACH RESPONSE FOR GDPR WITH RSA SECURITY ADDRESSING THE TICKING CLOCK OF GDPR COMPLIANCE PREPARATION FOR GDPR IS ESSENTIAL The EU GDPR imposes interrelated obligations for organizations handling
More informationEU GDPR as a Catalyst for Effective Data Governance and Monetizing Data Assets
EU GDPR as a Catalyst for Effective Data Governance and Monetizing Data Assets WHITE PAPER / JULY 19, 2018 DISCLAIMER The following is intended to outline our general product direction. It is intended
More informationCA ERwin Data Modeler r7.3
PRODUCT BRIEF: CA ERWIN DATA MODELER R7.3 CA ERwin Data Modeler r7.3 CA ERWIN DATA MODELER (CA ERWIN DM) IS AN INDUSTRY-LEADING DATA MODELING SOLUTION THAT ENABLES YOU TO CREATE AND MAINTAIN DATABASES,
More informationSIEMLESS THREAT DETECTION FOR AWS
SOLUTION OVERVIEW: ALERT LOGIC FOR AMAZON WEB SERVICES (AWS) SIEMLESS THREAT DETECTION FOR AWS Few things are as important to your business as maintaining the security of your sensitive data. Protecting
More informationVMware Cloud Operations Management Technology Consulting Services
VMware Cloud Operations Management Technology Consulting Services VMware Technology Consulting Services for Cloud Operations Management The biggest hurdle [that CIOs face as they move infrastructure and
More informationIBM Industry Model support for a data lake architecture
IBM Industry Models IBM Industry Model support for a data lake architecture Version 1.0 P a g e 1 Contents 1 Introduction... 3 1.1 About this document... 3 1.2 What this document means as a data lake...
More informationData Quality in the MDM Ecosystem
Solution Guide Data Quality in the MDM Ecosystem What is MDM? The premise of Master Data Management (MDM) is to create, maintain, and deliver the most complete and comprehensive view possible from disparate
More informationHortonworks DataPlane Service
Data Steward Studio Administration () docs.hortonworks.com : Data Steward Studio Administration Copyright 2016-2017 Hortonworks, Inc. All rights reserved. Please visit the Hortonworks Data Platform page
More informationODPi and Data Governance Free Your MetaData! October 10, 2018
ODPi and Data Governance Free Your MetaData! October 10, 2018 Today s reality @ODPiOrg Imagine An enterprise data catalogue that lists all of your data, where it is located, its origin (lineage), owner,
More informationAnalytics & Sport Data
Analytics & Sport Data Could Neymar s Injury be Prevented? SAS Data Preparation https://www.sas.com/en_gb/events/2017/ebooster-sas-partners.html AGENDA Player Performance Monitoring SAS Data Preparation
More informationUNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX
UNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX 1 Successful companies know that analytics are key to winning customer loyalty, optimizing business processes and beating their
More informationIncentives for IoT Security. White Paper. May Author: Dr. Cédric LEVY-BENCHETON, CEO
White Paper Incentives for IoT Security May 2018 Author: Dr. Cédric LEVY-BENCHETON, CEO Table of Content Defining the IoT 5 Insecurity by design... 5 But why are IoT systems so vulnerable?... 5 Integrating
More informationACCENTURE & COMMVAULT ACCENTURE CLOUD INNOVATION CENTER
& COMMVAULT CLOUD INNOVATION CENTER HYBRID CLOUD MANAGEMENT & OPTIMIZATION DATA MANAGEMENT CLOUD INNOVATION CENTER PUSHING CUSTOM CLOUD SOLUTIONS TO THE MAX. 2 CLOUD INNOVATION CENTER Cloud delivers undeniable
More informationTen Innovative Financial Services Applications Powered by Data Virtualization
Ten Innovative Financial Services Applications Powered by Data Virtualization DATA IS THE NEW ALPHA In an industry driven to deliver alpha, where might financial services firms find opportunities when
More informationOG0-091 Q&As TOGAF 9 Part 1
CertBus.com OG0-091 Q&As TOGAF 9 Part 1 Pass The Open Group OG0-091 Exam with 100% Guarantee Free Download Real Questions & Answers PDF and VCE file from: 100% Passing Guarantee 100% Money Back Assurance
More information12 Minute Guide to Archival Search
X1 Technologies, Inc. 130 W. Union Street Pasadena, CA 91103 phone: 626.585.6900 fax: 626.535.2701 www.x1.com June 2008 Foreword Too many whitepapers spend too much time building up to the meat of the
More informationRun the business. Not the risks.
Run the business. Not the risks. RISK-RESILIENCE FOR THE DIGITAL BUSINESS Cyber-attacks are a known risk to business. Today, with enterprises becoming pervasively digital, these risks have grown multifold.
More informationBRINGING DATA LINEAGE TO YOUR FINGERTIPS
DATA INTELLIGENCE ASG TECHNOLOGIES LINEAGE APPLIANCE Tailor Data Lineage to Your Enterprise Embed Data Lineage from ASG s Enterprise Data Intelligence Solution Wherever You Need It BRINGING DATA LINEAGE
More informationBuilding a Data Strategy for a Digital World
Building a Data Strategy for a Digital World Jason Hunter, CTO, APAC Data Challenge: Pushing the Limits of What's Possible The Art of the Possible Multiple Government Agencies Data Hub 100 s of Service
More informationStrategy & Planning: Data Governance & Data Quality
Strategy & Planning: Data Governance & Data Quality April 30, 2017 In the era of big data and data science, most commercial and nonprofit organizations realize the potential power of data in accelerating
More informationVendor: The Open Group. Exam Code: OG Exam Name: TOGAF 9 Part 1. Version: Demo
Vendor: The Open Group Exam Code: OG0-091 Exam Name: TOGAF 9 Part 1 Version: Demo QUESTION 1 According to TOGAF, Which of the following are the architecture domains that are commonly accepted subsets of
More informationRSA Solution Brief. The RSA Solution for Cloud Security and Compliance
The RSA Solution for Cloud Security and Compliance The RSA Solution for Cloud Security and Compliance enables enduser organizations and service providers to orchestrate and visualize the security of their
More informationTHE STATE OF DATA QUALITY
THE STATE OF DATA QUALITY HOW TO START A DATA QUALITY PROGRAM Organizations claim to make decisions based on data, but are they really? Ask a few simple questions of the data they are using for those presumed
More informationNetwork & Infrastructure Management (NIM) with Riverbed SteelCentral
Solution Brief Network & Infrastructure Management (NIM) with Riverbed SteelCentral Companies leverage far too many tools to manage the performance of their networks and infrastructure. The result of a
More informationData Protection. Practical Strategies for Getting it Right. Jamie Ross Data Security Day June 8, 2016
Data Protection Practical Strategies for Getting it Right Jamie Ross Data Security Day June 8, 2016 Agenda 1) Data protection key drivers and the need for an integrated approach 2) Common challenges data
More informationData Virtualization Implementation Methodology and Best Practices
White Paper Data Virtualization Implementation Methodology and Best Practices INTRODUCTION Cisco s proven Data Virtualization Implementation Methodology and Best Practices is compiled from our successful
More informationMatch data set availability to data resource requirements, including gap analysis and remediation assistance.
Discovering data/datasets Specify Data Requirements Identify Data Assets Assist customers with clarifying problem statements, use cases, high-level requirements (e.g. goals, objectives) and detailed requirements
More informationSmart Data Center From Hitachi Vantara: Transform to an Agile, Learning Data Center
Smart Data Center From Hitachi Vantara: Transform to an Agile, Learning Data Center Leverage Analytics To Protect and Optimize Your Business Infrastructure SOLUTION PROFILE Managing a data center and the
More informationIntelligence for the connected world How European First-Movers Manage IoT Analytics Projects Successfully
Intelligence for the connected world How European First-Movers Manage IoT Analytics Projects Successfully Thomas Rohrmann, Michael Probst Analytics Experience 2016, Rome #analyticsx C opyr i g ht 2016,
More informationThe Data Catalog The Key to Managing Data, Big and Small. April Reeve May
The Data Catalog The Key to Managing Data, Big and Small April Reeve May 18 2017 April Reeve Thirty years doing data oriented stuff Data Management disciplines Data Integration, Data Governance, Data Modeling,
More informationDATACENTER SERVICES DATACENTER
SERVICES SOLUTION SUMMARY ALL CHANGE React, grow and innovate faster with Computacenter s agile infrastructure services Customers expect an always-on, superfast response. Businesses need to release new
More informationTransforming IT: From Silos To Services
Transforming IT: From Silos To Services Chuck Hollis Global Marketing CTO EMC Corporation http://chucksblog.emc.com @chuckhollis IT is being transformed. Our world is changing fast New Technologies New
More informationWhite Paper. How to Write an MSSP RFP
White Paper How to Write an MSSP RFP https://www.solutionary.com (866) 333-2133 Contents 3 Introduction 3 Why a Managed Security Services Provider? 5 Major Items to Consider Before Writing an RFP 5 Current
More informationMapping Your Requirements to the NIST Cybersecurity Framework. Industry Perspective
Mapping Your Requirements to the NIST Cybersecurity Framework Industry Perspective 1 Quest has the solutions and services to help your organization identify, protect, detect, respond and recover, better
More informationFIVE BEST PRACTICES FOR ENSURING A SUCCESSFUL SQL SERVER MIGRATION
FIVE BEST PRACTICES FOR ENSURING A SUCCESSFUL SQL SERVER MIGRATION The process of planning and executing SQL Server migrations can be complex and risk-prone. This is a case where the right approach and
More information